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EMCA:一种新的多云存储中高效的多副本审计方案

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云数据审计是一项允许数据所有者在不下载数据的情况下检查数据是否在远程云服务器上完整存储的技术。目前,云数据审计可分为单副本审计和多副本审计,针对多副本审计方案中计算开销大以及无法审计多云存储数据的不足,提出了一种在多云情景下高效的多副本云数据审计方案。所提方案使用较轻量级的模幂加密技术代替传统上计算成本较高的双线性配对技术,以降低在审计过程中的计算开销,提高了方案的效率。为每个副本数据块生成一个同态验证标签(HVT)作为元数据,当用户发出审计要求,每个云服务提供商生成对应的证据,由云服务器管理者聚合证据,实现了在多云存储中的审计。安全分析表明,所提方案可抵挡恶意云服务提供商的伪造攻击,以及恶意云服务提供商与第三方审计者的合谋攻击。性能分析表明,所提方案在计算开销上低于现有多副本审计方案,实现了高效的多云存储多副本审计。
EMCA:A New Efficient Multi-replica Auditing Scheme in Multi-cloud Storage
Cloud data auditing is a technology that allows data owners to check whether data is stored intact on remote cloud servers without downloading the data.At present,cloud data auditing can be divided into single-replica auditing and multi-replica auditing.Aiming at the shortcomings of high computational overhead and inability to audit multi-cloud storage data in the multi-replica audit scheme,an efficient multi-replica cloud data audit scheme in multi-cloud scenarios is proposed.The proposed scheme uses a lightweight modular exponentiation encryption technique to replace the traditional bilinear pairing technique with high computational cost,so as to reduce the computational overhead in the audit process and improve the efficiency of the scheme.A homomorphic verification tag(HVT)is generated for each copy data block as metadata.When the user issues an audit request,each cloud service provider generates corresponding evidence,and the cloud server manager aggregates evidence to realize auditing in multi-cloud storage.The security analysis shows that the proposed scheme can withstand the forgery attacks of malicious cloud service providers and the collusion attacks of malicious cloud service providers and third-party auditors.The performance analysis shows that the computational overhead of the proposed scheme is lower than that of the existing multi-replica audit scheme,and the efficient multi-replica audit of multi-cloud storage is realized.

cloud storagedata auditmodular power encryptionmulti-replica storagemulti-cloud storage

胡雨晴、金瑜

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武汉科技大学 计算机科学与技术学院,湖北 武汉 430065

湖北省智能信息处理与实时工业重点实验室,湖北 武汉 430065

云存储 数据审计 模幂加密 多副本存储 多云存储

国家自然科学基金资助项目

61802286

2024

计算机技术与发展
陕西省计算机学会

计算机技术与发展

CSTPCD
影响因子:0.621
ISSN:1673-629X
年,卷(期):2024.34(3)
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